2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-6.10
Paper Title FAST AND ACCURATE SCENE PARSING VIA BI-DIRECTION ALIGNMENT NETWORKS
Authors Yanran Wu, Shanghai Jiao Tong University, China; Xiangtai Li, Peking University, China; Chen Shi, Shanghai Jiao Tong University, China; Yunhai Tong, Peking University, China; Yang Hua, Queen’s University Belfast, United Kingdom; Tao Song, Ruhui Ma, Haibing Guan, Shanghai Jiao Tong University, China
SessionARS-6: Image and Video Interpretation and Understanding 1
LocationArea H
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Interpretation and Understanding
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper, we propose an effective method for fast and accurate scene parsing called Bidirectional Alignment Network (BiAlignNet). Previously, one representative work BiSeNet [1] uses two different paths (Context Path and Spatial Path) to achieve balanced learning of semantics and details, respectively. However, the relationship between the two paths is not well explored. We argue that both paths can benefit each other in a complementary way. Motivated by this, we propose a novel network by aligning two-path information into each other through a learned flow field. To avoid the noise and semantic gaps, we introduce Gated Flow Alignment Module to align both features in a bidirectional way. Moreover, to make the Spatial Path learn more detailed information, we present an edge-guided hard pixel mining loss to supervise the aligned learning process. Our network achieves 80.1% and 78.5% mIoU in validation and test set of Cityscapes while running at 30 FPS with full resolution inputs. Code and models will be available in due course.